Loop back connected component labeling algorithm and its implementation in detecting face

In this study, a Loop Back Algorithm for component connected labeling for detecting objects in a digital image is presented. The approach is using loop back connected component labeling algorithm that helps the system to distinguish the object detected according to their label. Deferent than whole w...

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Main Authors: Rakhmadi, Akmal, Bade, Abdullah, Mohd. Rahim, Mohd. Shafry, Mat Amin, Ismail
Format: Article
Published: World Academy of Science, Engineering and Technology 2010
Subjects:
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author Rakhmadi, Akmal
Bade, Abdullah
Mohd. Rahim, Mohd. Shafry
Mat Amin, Ismail
author_facet Rakhmadi, Akmal
Bade, Abdullah
Mohd. Rahim, Mohd. Shafry
Mat Amin, Ismail
author_sort Rakhmadi, Akmal
collection ePrints
description In this study, a Loop Back Algorithm for component connected labeling for detecting objects in a digital image is presented. The approach is using loop back connected component labeling algorithm that helps the system to distinguish the object detected according to their label. Deferent than whole window scanning technique, this technique reduces the searching time for locating the object by focusing on the suspected object based on certain features defined. In this study, the approach was also implemented for a face detection system. Face detection system is becoming interesting research since there are many devices or systems that require detecting the face for certain purposes. The input can be from still image or videos, therefore the sub process of this system has to be simple, efficient and accurate to give a good result.
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institution Universiti Teknologi Malaysia - ePrints
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spelling utm.eprints-379492017-02-07T02:25:58Z http://eprints.utm.my/37949/ Loop back connected component labeling algorithm and its implementation in detecting face Rakhmadi, Akmal Bade, Abdullah Mohd. Rahim, Mohd. Shafry Mat Amin, Ismail QA75 Electronic computers. Computer science In this study, a Loop Back Algorithm for component connected labeling for detecting objects in a digital image is presented. The approach is using loop back connected component labeling algorithm that helps the system to distinguish the object detected according to their label. Deferent than whole window scanning technique, this technique reduces the searching time for locating the object by focusing on the suspected object based on certain features defined. In this study, the approach was also implemented for a face detection system. Face detection system is becoming interesting research since there are many devices or systems that require detecting the face for certain purposes. The input can be from still image or videos, therefore the sub process of this system has to be simple, efficient and accurate to give a good result. World Academy of Science, Engineering and Technology 2010-04 Article PeerReviewed Rakhmadi, Akmal and Bade, Abdullah and Mohd. Rahim, Mohd. Shafry and Mat Amin, Ismail (2010) Loop back connected component labeling algorithm and its implementation in detecting face. World Academy of Science, Engineering and Technology, 4 . pp. 83-88. ISSN 2010-376X http://waset.org/publications/9420/loop-back-connected-component-labeling-algorithm-and-its-implementation-in-detecting-face
spellingShingle QA75 Electronic computers. Computer science
Rakhmadi, Akmal
Bade, Abdullah
Mohd. Rahim, Mohd. Shafry
Mat Amin, Ismail
Loop back connected component labeling algorithm and its implementation in detecting face
title Loop back connected component labeling algorithm and its implementation in detecting face
title_full Loop back connected component labeling algorithm and its implementation in detecting face
title_fullStr Loop back connected component labeling algorithm and its implementation in detecting face
title_full_unstemmed Loop back connected component labeling algorithm and its implementation in detecting face
title_short Loop back connected component labeling algorithm and its implementation in detecting face
title_sort loop back connected component labeling algorithm and its implementation in detecting face
topic QA75 Electronic computers. Computer science
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